Hospitalists' Attitudes and Experiences With Posthospitalization Care Transitions for Patients With Substance Use Disorders: A Cross-sectional Analysis.

BACKGROUND: Medical hospitalizations are relatively common among individuals who have substance use disorders (SUDs) and represent opportunities for patient engagement and treatment. Posthospitalization transitions of care are an important element of providing full-spectrum inpatient SUD care; however, little is known about clinicians' experiences with postdischarge care transitions. METHODS: We conducted a cross-sectional study surveying hospital-based medical clinicians (ie, "hospitalists") across 2 large health systems in the state of Utah to assess current practices, barriers, facilitators, and perceptions toward posthospitalization care transitions for patients with SUDs. We used Wilcoxon signed-rank tests to identify the most impactful barriers and facilitators among all respondents. We used logistic regression models to explore the influence of hospitalists' attitudes toward providing SUD care on perceived barriers and facilitators. RESULTS: The survey was distributed to 429 individuals across 15 hospitals. Eighty-two hospitalists responded to the survey (response rate, 21.4%). Most respondents frequently cared for hospitalized patients with SUDs (n = 63, 77%) and prescribed medications for SUDs (n = 44, 56%). Four respondents (5%) felt that patients received adequate support during care transitions. Lack of social support (P < 0.001) and social factors such as lack of transportation (P < 0.001) were perceived as the largest barriers to successful care transitions. Conversely, a partnering outpatient clinic/clinician (P < 0.001) and outpatient-based care coordination (P < 0.001) were perceived as the strongest facilitators. Respondents' attitudes toward people with SUDs had a modest effect on perceived barriers and facilitators. CONCLUSIONS: Hospitalists perceived increased outpatient SUD treatment infrastructure and transitional care supports as most important in facilitating posthospitalization care transitions for patients with SUDs.

Care Practices of Mental Health Clinical Pharmacist Practitioners Within an Interdisciplinary Primary Care Model for Patients With Substance Use Disorders.

BACKGROUND: Clinical pharmacist practitioners (CPPs) play an increasingly important role in interdisciplinary care for patients with substance use disorders (SUDs). However, CPPs' scope of practice varies substantially across clinics and settings. OBJECTIVES: We sought to describe CPP practices and activities within an interdisciplinary, team-based primary care clinic dedicated to treat Veterans with histories of substance use disorders, experience of homelessness, high medical complexity, and other vulnerabilities. METHODS: We conducted a retrospective cohort study of CPP activities using Department of Veterans Affairs (VA) administrative data in 2019. RESULTS: CPPs provided care for 228 patients, including 766 in-clinic visits, 341 telephone visits, and 626 chart reviews, with an average of 2.5 hours spent per patient per year. Patients seen by CPPs frequently experience mental health conditions and SUDs, including depression (66%), post-traumatic stress disorder (52%), opioid use disorder (OUD) (45%), and alcohol use disorder (44%). CPPs managed buprenorphine medications for OUD or chronic pain in 76 patients (33%). Most CPP interventions (3330 total) were for SUDs (33%), mental health conditions (24%), and pain management (24%), with SUD interventions including medication initiation, dose changes, discontinuations and monitoring. As part of opioid risk mitigation efforts, CPPs queried the state's prescription drug monitoring program 769 times and ordered 59 naloxone kits and 661 lab panels for empaneled patients. CONCLUSION: CPPs managed a high volume of vulnerable patients and provided complex care within an interdisciplinary primary care team. Similar CPP roles could be implemented in other primary care settings to increase access to SUD treatment.

Buprenorphine use and courses of care for opioid use disorder treatment within the Veterans Health Administration.

BACKGROUND: Retention of patients in buprenorphine medication treatment for opioid use disorder (B-MOUD) reduces harms associated with opioid use disorder (OUD). We sought to characterize the patients receiving B-MOUD and courses of B-MOUD in a large healthcare system. METHODS: We conducted a retrospective, open cohort study of patients with OUD who either did or did not receive B-MOUD courses within the Veterans Health Administration (VHA) from January 2006 through July 2019, using VHA clinical data. We compared patients receiving or not receiving B-MOUD, characterized B-MOUD courses (e.g., length and doses), and examined persistence, across patient characteristics, over time. We used analyses for normally or non-normally distributed continuous variables, categorical data, and persistence over time (Kaplan-Meier persistence curves). RESULTS: We identified 255,726 Veterans with OUD; 40,431 (15.8%) had received 63,929 B-MOUD courses. Compared to patients with OUD without B-MOUD, patients with B-MOUD were younger, more often of white race, and had more co-morbidities. The frequency of new B-MOUD starts and prevalent B-MOUD patients ranged from 1550 and 1989 in 2007 to 8146 and 16,505 in 2018, respectively. The median duration of B-MOUD was 157 (IQR: 37-537) days for all courses and 33.8% patients had more than one course. The average proportion days covered was 90% (SD: 0.15), and the average prescribed daily dose was 13.44 (SD: 6.5). CONCLUSIONS: Within a VHA B-MOUD cohort, courses increased more than 10-fold from 2006 to 2016 with nearly half of patients experiencing multiple courses. Patient demographics seem to dictate the length of courses.

Prospective acceptability of digital phenotyping among pregnant and parenting people with opioid use disorder: A multisite qualitative study.

Background: While medications for opioid use disorder (MOUD) effectively treat OUD during pregnancy and the postpartum period, poor treatment retention is common. Digital phenotyping, or passive sensing data captured from personal mobile devices, namely smartphones, provides an opportunity to understand behaviors, psychological states, and social influences contributing to perinatal MOUD non-retention. Given this novel area of investigation, we conducted a qualitative study to determine the acceptability of digital phenotyping among pregnant and parenting people with opioid use disorder (PPP-OUD). Methods: This study was guided by the Theoretical Framework of Acceptability (TFA). Within a clinical trial testing a behavioral health intervention for PPP-OUD, we used purposeful criterion sampling to recruit 11 participants who delivered a child in the past 12 months and received OUD treatment during pregnancy or the postpartum period. Data were collected through phone interviews using a structured interview guide based on four TFA constructs (affective attitude, burden, ethicality, self-efficacy). We used framework analysis to code, chart, and identify key patterns within the data. Results: Participants generally expressed positive attitudes about digital phenotyping and high self-efficacy and low anticipated burden to participate in studies that collect smartphone-based passive sensing data. Nonetheless, concerns were noted related to data privacy/security and sharing location information. Differences in participant assessments of burden were related to length of time required and level of remuneration to participate in a study. Interviewees voiced broad support for participating in a digital phenotyping study with known/trusted individuals but expressed concerns about third-party data sharing and government monitoring. Conclusion: Digital phenotyping methods were acceptable to PPP-OUD. Enhancements in acceptability include allowing participants to maintain control over which data are shared, limiting frequency of research contacts, aligning compensation with participant burden, and outlining data privacy/security protections on study materials.

Cluster analysis to identify patient profiles and substance use patterns among pregnant persons with opioid use disorder.

The study objective was to identify distinct profiles of pregnant persons with opioid use disorder (PP-OUD) using cluster analysis and examine difference in substance use patterns between profiles. We examined data from 104 PP-OUD ≤ 32 weeks of gestation who were recruited into a behavioral health clinical trial at two academic medical centers. We used Partitioning Around Medoids analysis to identify clusters and explored patterns of substance use and substance use treatment between clusters using bivariate statistical tests and regression methods. We identified two distinct clusters of participants, including 'Group A' (n = 68; 65.4 %) and 'Group B' (n = 36; 34.6 %). Group A had fewer members who were not employed (38 % vs 58 %) and incarcerated (3 % vs 8 %) compared to Group B. Group A compared with Group B included more members with: a history of overdose (72 % vs 50 %); anxiety (85 % vs 25 %); ≥moderate pain (76 % vs 22 %); ≥moderate depression (75 % vs 36 %); ≥moderate drug use severity (94 % vs 78 %); and, more days of cannabis (mean: 6.2 vs 2.3 days), stimulant (mean: 4.5 vs 1.3 days), and injection heroin (mean: 1.3 vs 0 days) use in the past 30 days (P < 0.05 for all comparisons). Clusters of PP-OUD differed with respect to sociodemographic characteristics, mental health conditions, and substance use patterns. More research is needed to confirm identified profiles and assess treatment outcomes associated with cluster membership.

Increasing Access to Buprenorphine for Opioid Use Disorder in Primary Care: an Assessment of Provider Incentives.

BACKGROUND: Primary care providers (PCPs) are essential to increasing access to office-based buprenorphine medication treatment for opioid use disorder (B-MOUD). Barriers to B-MOUD prescribing are well-documented, but there is little information regarding incentives to overcome these barriers. OBJECTIVE: To identify optimal incentives for PCPs to promote B-MOUD prescribing and compare incentive preferences across provider and practice characteristics. DESIGN: We surveyed PCPs using best-worst scaling (BWS) to prioritize seven potential incentives for B-MOUD prescribing (monetary compensation, paid vacation, protected time, professional development, reduced workload, service recognition, clinical resources). We then used a direct elicitation approach to determine preferred incentive levels (e.g., monetary thresholds) and types (e.g., specific clinical resources). PARTICIPANTS: Primary care physicians and advanced practice providers (APPs) at a large Department of Veterans Affairs healthcare system. MAIN MEASURES: B-MOUD prescribing incentive preferences and relative preference levels using descriptive statistics and conditional logistic regression with relative importance scale transformation (coefficients sum to 100, higher coefficient=greater importance). KEY RESULTS: Fifty-three PCPs responded (73% response), including 47% APPs and 36% from community-based clinics. Reduced workload (relative importance score=26.8), protected time (18.7), and clinical resources (16.8) were significantly more preferred (Ps < 0.001) than professional development (10.5), paid vacation (10.3), or service recognition (1.5). Relative importance of monetary compensation varied between physicians (12.6) and APPs (17.5) and between PCPs located at a medical center (11.4) versus community clinic (22.3). APPs were more responsive than physicians to compensation increases of $5000 and $12,000 but less responsive to $25,000; trends were similar for medical center versus community clinic PCPs. The most frequently requested clinical resource was on-demand consult access to an addiction specialist. CONCLUSIONS: Interventions promoting workload reductions, protected time, and clinical resources could increase access to B-MOUD in primary care. Monetary incentives may be additionally needed to improve B-MOUD prescribing among APPs and within community clinics.

Trends in Health Service Utilization After Enrollment in an Interdisciplinary Primary Care Clinic for Veterans with Addiction, Social Determinants of Health, or Other Vulnerabilities.

BACKGROUND: Models of interdisciplinary primary care (IPC) may improve upon traditional primary care approaches in addressing addiction and social determinants of health. OBJECTIVE: To compare the trends in health care utilization in the year before and after enrollment in an IPC clinic model, and explore the variations in temporal patterns for patients with histories of high emergency department (ED) use, homelessness, and/or substance use disorders (SUDs). DESIGN AND PARTICIPANTS: Interrupted time series study of utilization among IPC patients. MAIN MEASURES: Quarterly ED, inpatient, primary care, and behavioral health visits were abstracted from administrative data before and after IPC enrollment. Negative binomial segmented regressions estimated changes in health care utilization over time. We used interactions to test for statistical differences in temporal patterns for IPC subgroups. RESULTS: Among IPC patients (n=994), enrollment was associated with overall reductions in ED, inpatient, and behavioral health visits (p's<0.001) and increases in primary care (p's<0.001). Temporal patterns of ED visits, hospitalizations, and behavioral health differed across IPC subgroups (interaction p's<0.001). For those with histories of high ED use (n=265), ED, inpatient, and behavioral health visits decreased after enrollment (level change incidence rate ratios [IRRs]=0.57-0.69) and continued to decline over time (post-enrollment IRRs=0.80-0.88). Among other patients with homeless experiences (n=123), there were initial declines in hospitalizations (IRR=0.33) and overall declines in behavioral health visits (level change and post-enrollment IRRs=0.46-0.94). Other patients with SUDs had initial declines in hospitalizations (IRR=0.46), and post-enrollment declines in rates of specialty SUD visits (IRR=0.92). For all patients, primary care visits initially increased (level change IIRs=2.47-1.34) then gradually declined (post-enrollment IRRs=0.92-0.92). CONCLUSIONS: An IPC model of care reduces acute care and behavioral health service use, particularly for patients with historically high ED use. IPC models may improve patient and system outcomes of vulnerable patient populations with social, clinical, and addiction morbidities.

Patient-centered quality measurement for opioid use disorder: Development of a taxonomy to address gaps in research and practice.

Background: Evidence-based treatment is provided infrequently and inconsistently to patients with opioid use disorder (OUD). Treatment guidelines call for high-quality, patient-centered care that meets individual preferences and needs, but it is unclear whether current quality measures address individualized aspects of care and whether measures of patient-centered OUD care are supported by evidence. Methods: We conducted an environmental scan of OUD care quality to (1) evaluate patient-centeredness in current OUD quality measures endorsed by national agencies and in national OUD treatment guidelines; and (2) review literature evidence for patient-centered care in OUD diagnosis and management, including gaps in current guidelines, performance data, and quality measures. We then synthesized these findings to develop a new quality measurement taxonomy that incorporates patient-centered aspects of care and identifies priority areas for future research and quality measure development. Results: Across 31 endorsed OUD quality measures, only two measures of patient experience incorporated patient preferences and needs, while national guidelines emphasized providing patient-centered care. Among 689 articles reviewed, evidence varied for practices of patient-centered care. Many practices were supported by guidelines and substantial evidence, while others lacked evidence despite guideline support. Our synthesis of findings resulted in EQuIITable Care, a taxonomy comprised of six classifications: (1) patient Experience and engagement, (2) Quality of life; (3) Identification of patient risks; (4) Interventions to mitigate patient risks; (5) Treatment; and (6) Care coordination and navigation. Conclusions: Current quality measurement for OUD lacks patient-centeredness. EQuIITable Care for OUD provides a roadmap to develop measures of patient-centered care for OUD.

Attitudes, self-efficacy, and practices related to opioid risk assessment and mitigation: A comparison of health care professionals in rural communities.

Background: Health care professionals (HCPs) play an important role in opioid misuse and opioid use disorder (OUD) screening/identification, mitigation, and referral to treatment. This study compared attitudes, self-efficacy, and practices related to opioid risk assessment and mitigation among pregnancy and non-pregnancy HCPs in rural communities. Methods: We conducted a secondary analysis of cross-sectional, self-report survey data of HCPs in two rural counties in southern Utah. Pregnancy HCPs were identified by a question asking whether they provide care to pregnant patients. HCPs' attitudes toward their patients with opioid misuse/OUD were measured using the Survey of Attitudes and Perceptions questionnaire. Self-efficacy and practices related to opioid risk assessment and mitigation were captured with questions asking about assessment and screening of opioid use, advisement to change opioid use behavior, and referral to treatment for OUD. We used linear regression analyses to estimate associations between HCPs' attitudes toward patients with opioid misuse/OUD and their self-efficacy and use of opioid risk assessment and mitigation practices. Results: This sample included a total of 132 HCPs, including 82 pregnancy HCPs and 50 non-pregnancy HCPs. Attitudes domains were similar among pregnancy and non-pregnancy HCPs. Among pregnancy HCPs, role adequacy (ß = .48, 95% CI = .16-.80), role legitimacy (ß = .72, 95% CI = .21-1.22), motivation (ß = .68, 95% CI = .14-1.21), and positive task-specific self-esteem (ß = 1.52, 95% CI = .70-2.35) were positively associated with more frequent use of opioid risk assessment and mitigation practices, while attitudes were not associated with these practices among non-pregnancy HCPs. Conclusions: Training initiatives that lead to improved HCP attitudes could improve opioid care management among rural pregnancy HCPs. More research is needed to determine approaches to increase the use of opioid risk assessment and mitigation practices among rural non-pregnancy HCPs.

Treatment access for opioid use disorder in pregnancy among rural and American Indian communities.

BACKGROUND: Opioid use disorder (OUD) in pregnancy disproportionately impacts rural and American Indian (AI) communities. With limited data available about access to care for these populations, this study's objective was to assess clinic knowledge and new patient access for OUD treatment in three rural U.S. counties. MATERIAL AND METHODS: The research team used unannounced standardized patients (USPs) to request new patient appointments by phone for white and AI pregnant individuals with OUD at primary care and OB/GYN clinics that provide prenatal care in three rural Utah counties. We assessed a) clinic familiarity with buprenorphine for OUD; b) appointment availability for buprenorphine treatment; c) appointment wait times; d) referral provision when care was unavailable; and e) availability of OUD care at referral locations. We compared outcomes for AI and white USP profiles using descriptive statistics. RESULTS: The USPs made 34 calls to 17 clinics, including 4 with publicly listed buprenorphine prescribers on the Substance Abuse and Mental Health Services Administration website. Among clinical staff answering calls, 16 (47%) were unfamiliar with buprenorphine. OUD treatment was offered when requested in 6 calls (17.6%), with a median appointment wait time of 2.5 days (IQR 1-5). Among clinics with a listed buprenorphine prescriber, 2 of 4 (50%) offered OUD treatment. Most clinics (n = 24/28, 85.7%) not offering OUD treatment provided a referral; however, a buprenorphine provider was unavailable/unreachable 67% of the time. The study observed no differences in appointment availability between AI and white individuals. CONCLUSIONS: Rural-dwelling AI and white pregnant individuals with OUD experience significant barriers to accessing care. Improving OUD knowledge and referral practices among rural clinics may increase access to care for this high-risk population.

Development of an unannounced standardized patient protocol to evaluate opioid use disorder treatment in pregnancy for American Indian and rural communities.

BACKGROUND: Opioid use disorder (OUD) disproportionately impacts rural and American Indian communities and has quadrupled among pregnant individuals nationwide in the past two decades. Yet, limited data are available about access and quality of care available to pregnant individuals in rural areas, particularly among American Indians (AIs). Unannounced standardized patients (USPs), or "secret shoppers" with standardized characteristics, have been used to assess healthcare access and quality when outcomes cannot be measured by conventional methods or when differences may exist between actual versus reported care. While the USP approach has shown benefit in evaluating primary care and select specialties, its use to date for OUD and pregnancy is very limited. METHODS: We used literature review, current practice guidelines for perinatal OUD management, and stakeholder engagement to design a novel USP protocol to assess healthcare access and quality for OUD in pregnancy. We developed two USP profiles-one white and one AI-to reflect our target study area consisting of three rural, predominantly white and AI US counties. We partnered with a local community health center network providing care to a large AI population to define six priority outcomes for evaluation: (1) OUD treatment knowledge among clinical staff answering telephones; (2) primary care clinic facilitation and provision of prenatal care and buprenorphine treatment; (3) appropriate completion of evidence-based screening, symptom assessment, and initial steps in management; (4) appropriate completion of risk factor screening/probing about individual circumstances that may affect care; (5) patient-directed tone, stigma, and professionalism by clinic staff; and (6) disparities in care between whites and American Indians. DISCUSSION: The development of this USP protocol tailored to a specific environment and high-risk patient population establishes an innovative approach to evaluate healthcare access and quality for pregnant individuals with OUD. It is intended to serve as a roadmap for our own study and for future related work within the context of substance use disorders and pregnancy.